To reinforce our team in Basel, Switzerland, we are seeking a Computational Biologist for Biomedicine.
Computational Biologist for Biomedicine (100%)


University of Basel (Unibas)

Work Location

Basel, Switzerland

Employment fraction


Type of contract


Job tasks
The University of Basel is a world leader in biomedical sciences, with many close collaborations between basic research and clinical application. We are recruiting a computational biologist to complement ongoing research in this domain. The research groups of Professor Markus Heim at the Department of Biomedicine and Professor Michael Hall at the Biozentrum work together on closely related research questions in (hepatocellular) oncology. We invite applications for a computational biologist (100%) to support quantitative research in these two research groups. The position will be embedded in the Hall and Heim labs, and hosted by sciCORE – the center for scientific computing at the University of Basel.

The successful candidate will provide consulting and execute data analysis in research projects undertaken by the Hall and Heim labs. We expect close coordination regarding experimental design, and a leadership role in applying appropriate statistical, computational, and data visualization methods towards scientific publications. You will join a team of data analysts at sciCORE, which will formally host the position. Some participation in the general scientific support activities of sciCORE is expected.

Profile requirements
Our ideal candidate has a strong experience (postdoctoral level) in bioinformatics, statistics, and biomedical sciences, with a specific interest in computational oncology. Advanced fluency in working with *omics data and Python and/or R are required. Previous work involving the integration of complex *omics data sets (including proteomics) and familiarity with state of the art machine learning frameworks will be an asset. We expect our candidate to be flexible, proactive, and capable of following several projects in parallel.

How to apply
We look forward to receiving your complete application via the university's online application portal (here). Applications should include a curriculum vitae, list of publications indicating the five most significant papers, a link to your code repository or portfolio of data analysis projects, and names of [2-3] potential referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information regarding the position, please contact Dr. Geoffrey Fucile by e-mail: